op {
  graph_op_name: "Expm1"
  summary: "Computes `exp(x) - 1` element-wise."
  description: <<END
  i.e. `exp(x) - 1` or `e^(x) - 1`, where `x` is the input tensor.
  `e` denotes Euler's number and is approximately equal to 2.718281.

  ```python
  x = tf.constant(2.0)
  tf.math.expm1(x) ==> 6.389056

  x = tf.constant([2.0, 8.0])
  tf.math.expm1(x) ==> array([6.389056, 2979.958], dtype=float32)

  x = tf.constant(1 + 1j)
  tf.math.expm1(x) ==> (0.46869393991588515+2.2873552871788423j)
  ```
END
}
